Written by Aunoy Poddar July 21st, 2022

Process the puncta quantified raw data

current_file <- rstudioapi::getActiveDocumentContext()$path
output_file <- stringr::str_replace(current_file, '.Rmd', '.R')
knitr::purl(current_file, output = output_file)
file.edit(output_file)

Import packages and functions

library(Seurat)
Attaching SeuratObject
library(tictoc)
library(ggplot2)
library(patchwork)
library(pheatmap)
library(RColorBrewer)
library(tidyverse)
Registered S3 methods overwritten by 'dbplyr':
  method         from
  print.tbl_lazy     
  print.tbl_sql      
── Attaching packages ───────────────────────────────────────────────────────────────────────────────────── tidyverse 1.3.1 ──
✔ tibble  3.1.6     ✔ dplyr   1.0.8
✔ tidyr   1.2.0     ✔ stringr 1.4.0
✔ readr   2.1.2     ✔ forcats 0.5.1
✔ purrr   0.3.4     
── Conflicts ──────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
library(gridExtra)

Attaching package: ‘gridExtra’

The following object is masked from ‘package:dplyr’:

    combine
library(png)
library(cowplot)

Attaching package: ‘cowplot’

The following object is masked from ‘package:patchwork’:

    align_plots
library(magick)
Linking to ImageMagick 6.9.10.23
Enabled features: fontconfig, freetype, fftw, lcms, pango, webp, x11
Disabled features: cairo, ghostscript, heic, raw, rsvg
Using 80 threads
library(scales)

Attaching package: ‘scales’

The following object is masked from ‘package:purrr’:

    discard

The following object is masked from ‘package:readr’:

    col_factor

Load the data

data_dir = '/home/aunoy/st/arc_profiling/st_analysis/hand_annotated_data/rethresholded'
meta_dir = '/home/aunoy/st/arc_profiling/st_analysis/hand_annotated_data/overlay'
output_dir_plot = '/home/aunoy/st/arc_profiling/st_analysis/results/plots'
output_dir_tbls = '/home/aunoy/st/arc_profiling/st_analysis/results/tables'

Merge both datasets and generate a metadata column that corresponds

to the cell

df_408 = data.frame()
for (file_name in list.files(data_dir)){
  print(file_name)
  if(grepl('164', file_name)){
    next
  }
  #if(grepl('408_TC', file_name) | grepl('408_vMS', file_name)){
  #  next
  #}
  df_to_append <- read.table(file.path(data_dir, file_name), sep = ',', header = TRUE)
  while(length(ind <- which(df_to_append$Image.Name == "")) > 0){
    df_to_append$Image.Name[ind] <- df_to_append$Image.Name[ind -1]
  }
  
  colnames(df_to_append) <- toupper(colnames(df_to_append))
  df_to_append <- df_to_append %>%
    mutate(area = strsplit(file_name, '.csv')[[1]])
  
  ## Add relative_XY_position
  
  if(!is_empty(df_408)){
    df_to_append <- df_to_append %>%
          dplyr::select(colnames(df_408))
  }
  df_408 <- rbind(df_408, df_to_append)
}
[1] "164_CC.csv"
[1] "164_MS_CC.csv"
[1] "164_MS_TC.csv"
[1] "164_TC.csv"
[1] "408_CC.csv"
[1] "408_dMS_TC.csv"
[1] "408_MS_CC.csv"
[1] "408_TC.csv"
[1] "408_vMS_TC.csv"
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='_Cluster', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='[*]', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='X', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='L2_', replacement='L2-'))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='-L2', replacement='_L2'))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='Tc_12', replacement='TC_12'))
## Missing
df_408 = df_408[df_408$IMAGE.NAME != 'Layer1', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_1', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_18', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_19', ]
#df_408$IMAGE.NAME = toupper(df_408$IMAGE.NAME)
unique(df_408$IMAGE.NAME)
 [1] "CC_Cortical1" "CC_Cortical2" "CC_L2-1"      "CC_L2-2"      "CC_L2-3"      "TC_2"         "TC_3"         "TC_4"        
 [9] "TC_5"         "TC_6"         "TC_7"         "TC_8"         "TC_9"         "TC_10"        "CC_4"         "CC_5"        
[17] "CC_6"         "CC_7"         "CC_8"         "CC_9"         "CC_10"        "CC_11"        "CC_12"        "TC_16"       
[25] "TC_17"        "TC_20"        "TC_11"        "TC_12"        "TC_13"        "TC_14"        "TC_15"       

Now we know that everything is equal to one another, we should load the variable

images_ordered = c('TC_20', 'TC_17', 'TC_16', 'TC_15', 'TC_14', 'TC_13', 'TC_12', 'TC_11', 'TC_10', 'TC_9', 'TC_8', 'TC_7', 'TC_6', 'TC_5',
                   'TC_4', 'TC_3', 'TC_2', 'CC_4', 'CC_5', 'CC_6', 'CC_7', 'CC_8', 'CC_9', 'CC_10', 'CC_11', 'CC_12', 'CC_L2-3', 'CC_L2-2', 'CC_L2-1', 'CC_Cortical1', 'CC_Cortical2')
x_horz = 1:length(images_ordered) * 35
y_horz = rep(0, length(images_ordered))
horz_embedding = data.frame()
df_408$X_horz = -1
df_408$Y_horz = -1
IMAGE_SIZE = 1024
## This is the size of an image in the global coordinate space
IMAGE_LEN = 25

images = list.files(meta_dir)
for(i in 1:length(images_ordered)){
    image_name = images_ordered[i]
    print(image_name)
    split_names = strsplit(image_name, '_')
    cortex = toupper(split_names[[1]][1])
    number = split_names[[1]][2]
    number_csv = paste0('_', number, '.csv')
    filename = images[grepl(cortex, images) & grepl(number_csv, images) & grepl('408', images)]
    coordinates = read.table(file.path(meta_dir, filename), sep = ',', header = TRUE)
    ## checked already that lists are equal, missing 1, 18, 19 for now, layer 1 and others
 
    ## so this is a little tricky, so need to get it right
    ## Remember, it is the top right that the coordinate is coming from, but
    ## the bottom right is the new coordinate space.
    ## so first when we get the original coordinate space, to set to relative
    ## of bottom would be the same X, but 1024 - Y
    
    ## push out the coordinates for better visualization
    #x_repelled <- (512 - coordinates$X_Coordinate_In_pixels)
    
    
    df_408[df_408$IMAGE.NAME == image_name, 'X_horz'] = (coordinates$X_Coordinate_In_pixels / 
                                                      IMAGE_SIZE * IMAGE_LEN) + y_horz[i]
    df_408[df_408$IMAGE.NAME == image_name, 'Y_horz'] = ((1024-coordinates$Y_Coordinate_In_pixels) / 
                                                      IMAGE_SIZE * IMAGE_LEN) + x_horz[i]
}
[1] "TC_20"
[1] "TC_17"
[1] "TC_16"
[1] "TC_15"
[1] "TC_14"
[1] "TC_13"
[1] "TC_12"
[1] "TC_11"
[1] "TC_10"
[1] "TC_9"
[1] "TC_8"
[1] "TC_7"
[1] "TC_6"
[1] "TC_5"
[1] "TC_4"
[1] "TC_3"
[1] "TC_2"
[1] "CC_4"
[1] "CC_5"
[1] "CC_6"
[1] "CC_7"
[1] "CC_8"
[1] "CC_9"
[1] "CC_10"
[1] "CC_11"
[1] "CC_12"
[1] "CC_L2-3"
[1] "CC_L2-2"
[1] "CC_L2-1"
[1] "CC_Cortical1"
[1] "CC_Cortical2"

We have the coordinates for 408_TC and others

rownames(df_408) = 1:nrow(df_408)
jy_408 = df_408 %>%
  dplyr::select(-c(area, IMAGE.NAME, X_horz, Y_horz)) %>%
  t() %>%
  CreateSeuratObject()

just set everything from below 1 in ratio to zero

jy_408 <- NormalizeData(jy_408, scale.factor = 1e5) ###
Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
normed = GetAssayData(jy_408, slot = 'data')
normed[normed < 3] = 0
jy_408 <- SetAssayData(jy_408, slot = 'data', normed)
xycords = df_408 %>% dplyr::select(c('X', 'Y')) %>% as.matrix()
Error in (function (cond)  : 
  error in evaluating the argument 'x' in selecting a method for function 'as.matrix': Can't subset columns that don't exist.
✖ Column `X` doesn't exist.
DimPlot(jy_408, #cells = grepl('CC', df_408$area), 
        cols = c('purple', 'grey'), reduction = "XY", pt.size = 0.2, group.by = 'gad1_true', order = which(jy_408$gad1_true)) + coord_fixed(ratio = 1)
Error: Cannot find 'XY' in this Seurat object
jy_408 <- FindVariableFeatures(jy_408, selection.method = "vst")
Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
all.genes <- rownames(jy_408)
jy_408 <- ScaleData(jy_408, features = all.genes)
Centering and scaling data matrix

  |                                                                                                                          
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  |====================================================================================================================| 100%
jy_408 <- RunPCA(jy_408, approx = FALSE)
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
PC_ 1 
Positive:  VIP, ASCL1, CXCR4, RELN, SATB2, MAF1, KIA0319, EMX1, GAD1, CXCL12 
       PAX6, DLX2, SST, PROX1, LHX6, NCAM1 
Negative:  DCX, TBR1, LRP8, SCGN, COUPTF2, EGFR, CXCL14, TSHZ1, GSX2, EOMES 
       SP8, NKX2.1, CALB2, CXCR7, DCDC2, VLDLR 
PC_ 2 
Positive:  TBR1, EOMES, KIA0319, DCDC2, LRP8, CALB2, DCX, SATB2, CXCL12, EGFR 
       EMX1, ASCL1, COUPTF2, PAX6, RELN, CXCR4 
Negative:  MAF1, TSHZ1, NKX2.1, SST, GAD1, DLX2, PROX1, SP8, GSX2, VIP 
       SCGN, LHX6, VLDLR, CXCL14, CXCR7, NCAM1 
PC_ 3 
Positive:  COUPTF2, DLX2, PROX1, GAD1, CXCR4, LHX6, LRP8, TSHZ1, CXCL14, EOMES 
       NKX2.1, SP8, CALB2, CXCL12, DCDC2, VLDLR 
Negative:  SATB2, RELN, MAF1, PAX6, ASCL1, SCGN, SST, EMX1, GSX2, NCAM1 
       DCX, KIA0319, VIP, EGFR, CXCR7, TBR1 
PC_ 4 
Positive:  NCAM1, TSHZ1, VLDLR, CXCL14, PROX1, EGFR, CXCR7, DCX, ASCL1, DCDC2 
       CALB2, PAX6, GSX2, SCGN, EOMES, KIA0319 
Negative:  LHX6, DLX2, LRP8, SP8, VIP, SST, COUPTF2, NKX2.1, TBR1, CXCR4 
       EMX1, RELN, CXCL12, MAF1, GAD1, SATB2 
PC_ 5 
Positive:  GSX2, SP8, NKX2.1, SCGN, COUPTF2, CXCL14, EGFR, EMX1, TSHZ1, CALB2 
       CXCL12, TBR1, PAX6, SATB2, MAF1, KIA0319 
Negative:  SST, CXCR4, DCDC2, GAD1, PROX1, EOMES, DLX2, VIP, DCX, VLDLR 
       RELN, NCAM1, LHX6, ASCL1, CXCR7, LRP8 
jy_408 <- FindNeighbors(jy_408, dims = 1:30)
Computing nearest neighbor graph
Computing SNN
jy_408 <- FindClusters(jy_408, resolution = 1.5)
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5629
Number of communities: 12
Elapsed time: 0 seconds
jy_408 <- RunUMAP(jy_408, dims = 1:30)
Warning: The default method for RunUMAP has changed from calling Python UMAP via reticulate to the R-native UWOT using the cosine metric
To use Python UMAP via reticulate, set umap.method to 'umap-learn' and metric to 'correlation'
This message will be shown once per session
22:58:53 UMAP embedding parameters a = 0.9922 b = 1.112
22:58:53 Read 1013 rows and found 30 numeric columns
22:58:53 Using Annoy for neighbor search, n_neighbors = 30
22:58:53 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:58:53 Writing NN index file to temp file /tmp/RtmpIqRk2o/file74f0471c3b151
22:58:53 Searching Annoy index using 1 thread, search_k = 3000
22:58:53 Annoy recall = 100%
22:58:54 Commencing smooth kNN distance calibration using 1 thread
22:58:54 Initializing from normalized Laplacian + noise
22:58:54 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
22:58:55 Optimization finished
DimPlot(jy_408,  reduction = "umap", group.by = 'seurat_clusters') + NoAxes()

DimPlot(jy_408, reduction = "H", pt.size = 1, split.by = 'seurat_clusters') + NoAxes() + NoLegend()
Error: Cannot find 'H' in this Seurat object
jy_408.markers <- FindAllMarkers(jy_408, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
Calculating cluster 0

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Calculating cluster 1

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Calculating cluster 2

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Calculating cluster 3

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Calculating cluster 4

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Calculating cluster 5

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Calculating cluster 6

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Calculating cluster 7

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Calculating cluster 8

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Calculating cluster 9

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Calculating cluster 10

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Calculating cluster 11

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jy_408.markers %>%
   group_by(cluster) %>%
   slice_max(n = 32, order_by = avg_log2FC)
jy_408_0v4.markers <- FindMarkers(jy_408, ident.1 = 10, ident.2 = 9, only.pos = TRUE)

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# view results
head(jy_408_0v4.markers)
breakpoints = 1:20/10+0.3
plots = list()
jy_408 <- FindNeighbors(jy_408, dims = 1:30)
Computing nearest neighbor graph
Computing SNN
i = 1
for (breakpoint in breakpoints){
  jy_408 <- FindClusters(jy_408, resolution = breakpoint)
  jy_408 <- RunUMAP(jy_408, dims = 1:30)
  jy_408.markers <- FindAllMarkers(jy_408, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
  labels = jy_408.markers %>%
   group_by(cluster) %>%
   slice_max(n = 1, order_by = avg_log2FC)
  new.cluster.ids <- labels$gene
  names(new.cluster.ids) <- levels(jy_408)
  jy_408 <- RenameIdents(jy_408, new.cluster.ids)
  plots[[i]] = DimPlot(jy_408, reduction = "umap", pt.size = 1, label = TRUE) + NoAxes() + NoLegend() + ggtitle(breakpoint)
  i = i + 1
}
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7652
Number of communities: 4
Elapsed time: 0 seconds
00:47:32 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:32 Read 1013 rows and found 30 numeric columns
00:47:32 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:32 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:32 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23600a8b6
00:47:32 Searching Annoy index using 1 thread, search_k = 3000
00:47:32 Annoy recall = 100%
00:47:33 Commencing smooth kNN distance calibration using 1 thread
00:47:35 Initializing from normalized Laplacian + noise
00:47:35 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:37 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7378
Number of communities: 4
Elapsed time: 0 seconds
00:47:38 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:38 Read 1013 rows and found 30 numeric columns
00:47:38 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:38 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:38 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea236c2b11eb
00:47:38 Searching Annoy index using 1 thread, search_k = 3000
00:47:38 Annoy recall = 100%
00:47:39 Commencing smooth kNN distance calibration using 1 thread
00:47:41 Initializing from normalized Laplacian + noise
00:47:41 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:43 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7112
Number of communities: 5
Elapsed time: 0 seconds
00:47:44 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:44 Read 1013 rows and found 30 numeric columns
00:47:44 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:44 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:44 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2372c56ce
00:47:44 Searching Annoy index using 1 thread, search_k = 3000
00:47:44 Annoy recall = 100%
00:47:45 Commencing smooth kNN distance calibration using 1 thread
00:47:47 Initializing from normalized Laplacian + noise
00:47:47 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:50 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6893
Number of communities: 6
Elapsed time: 0 seconds
00:47:50 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:50 Read 1013 rows and found 30 numeric columns
00:47:50 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:50 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:50 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2323d2618c
00:47:50 Searching Annoy index using 1 thread, search_k = 3000
00:47:50 Annoy recall = 100%
00:47:51 Commencing smooth kNN distance calibration using 1 thread
00:47:54 Initializing from normalized Laplacian + noise
00:47:54 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:56 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6698
Number of communities: 7
Elapsed time: 0 seconds
00:47:56 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:56 Read 1013 rows and found 30 numeric columns
00:47:56 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:47:56 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:47:56 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231eb9a310
00:47:56 Searching Annoy index using 1 thread, search_k = 3000
00:47:57 Annoy recall = 100%
00:47:58 Commencing smooth kNN distance calibration using 1 thread
00:48:00 Initializing from normalized Laplacian + noise
00:48:00 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:02 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6526
Number of communities: 8
Elapsed time: 0 seconds
00:48:02 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:02 Read 1013 rows and found 30 numeric columns
00:48:02 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:02 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:02 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea234f7fb3e
00:48:02 Searching Annoy index using 1 thread, search_k = 3000
00:48:03 Annoy recall = 100%
00:48:04 Commencing smooth kNN distance calibration using 1 thread
00:48:06 Initializing from normalized Laplacian + noise
00:48:06 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:08 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6360
Number of communities: 8
Elapsed time: 0 seconds
00:48:09 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:09 Read 1013 rows and found 30 numeric columns
00:48:09 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:09 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:09 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea235f7b01b0
00:48:09 Searching Annoy index using 1 thread, search_k = 3000
00:48:09 Annoy recall = 100%
00:48:10 Commencing smooth kNN distance calibration using 1 thread
00:48:12 Initializing from normalized Laplacian + noise
00:48:12 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:14 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6194
Number of communities: 8
Elapsed time: 0 seconds
00:48:15 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:15 Read 1013 rows and found 30 numeric columns
00:48:15 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:15 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:15 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231ba68aa0
00:48:15 Searching Annoy index using 1 thread, search_k = 3000
00:48:15 Annoy recall = 100%
00:48:16 Commencing smooth kNN distance calibration using 1 thread
00:48:18 Initializing from normalized Laplacian + noise
00:48:18 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:21 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6027
Number of communities: 8
Elapsed time: 0 seconds
00:48:21 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:21 Read 1013 rows and found 30 numeric columns
00:48:21 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:21 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:21 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231f3146ec
00:48:21 Searching Annoy index using 1 thread, search_k = 3000
00:48:22 Annoy recall = 100%
00:48:23 Commencing smooth kNN distance calibration using 1 thread
00:48:25 Initializing from normalized Laplacian + noise
00:48:25 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:27 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5885
Number of communities: 9
Elapsed time: 0 seconds
00:48:28 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:28 Read 1013 rows and found 30 numeric columns
00:48:28 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:28 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:28 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea233b648366
00:48:28 Searching Annoy index using 1 thread, search_k = 3000
00:48:28 Annoy recall = 100%
00:48:29 Commencing smooth kNN distance calibration using 1 thread
00:48:31 Initializing from normalized Laplacian + noise
00:48:31 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:33 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5744
Number of communities: 11
Elapsed time: 0 seconds
00:48:34 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:34 Read 1013 rows and found 30 numeric columns
00:48:34 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:34 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:34 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23ede78e9
00:48:34 Searching Annoy index using 1 thread, search_k = 3000
00:48:35 Annoy recall = 100%
00:48:36 Commencing smooth kNN distance calibration using 1 thread
00:48:38 Initializing from normalized Laplacian + noise
00:48:38 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:40 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5629
Number of communities: 12
Elapsed time: 0 seconds
00:48:41 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:41 Read 1013 rows and found 30 numeric columns
00:48:41 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:41 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:41 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231b39f59c
00:48:41 Searching Annoy index using 1 thread, search_k = 3000
00:48:41 Annoy recall = 100%
00:48:42 Commencing smooth kNN distance calibration using 1 thread
00:48:44 Initializing from normalized Laplacian + noise
00:48:44 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:46 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5519
Number of communities: 13
Elapsed time: 0 seconds
00:48:47 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:47 Read 1013 rows and found 30 numeric columns
00:48:47 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:47 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:48 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea237dae3b8b
00:48:48 Searching Annoy index using 1 thread, search_k = 3000
00:48:48 Annoy recall = 100%
00:48:49 Commencing smooth kNN distance calibration using 1 thread
00:48:51 Initializing from normalized Laplacian + noise
00:48:51 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:53 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5412
Number of communities: 13
Elapsed time: 0 seconds
00:48:54 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:54 Read 1013 rows and found 30 numeric columns
00:48:54 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:48:54 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:48:54 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2352f0059c
00:48:54 Searching Annoy index using 1 thread, search_k = 3000
00:48:54 Annoy recall = 100%
00:48:56 Commencing smooth kNN distance calibration using 1 thread
00:48:58 Initializing from normalized Laplacian + noise
00:48:58 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:00 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5306
Number of communities: 13
Elapsed time: 0 seconds
00:49:01 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:01 Read 1013 rows and found 30 numeric columns
00:49:01 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:01 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:01 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23732ee5d6
00:49:01 Searching Annoy index using 1 thread, search_k = 3000
00:49:01 Annoy recall = 100%
00:49:02 Commencing smooth kNN distance calibration using 1 thread
00:49:04 Initializing from normalized Laplacian + noise
00:49:04 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:07 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5206
Number of communities: 14
Elapsed time: 0 seconds
00:49:08 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:08 Read 1013 rows and found 30 numeric columns
00:49:08 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:08 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:08 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2361a8b024
00:49:08 Searching Annoy index using 1 thread, search_k = 3000
00:49:08 Annoy recall = 100%
00:49:09 Commencing smooth kNN distance calibration using 1 thread
00:49:11 Initializing from normalized Laplacian + noise
00:49:11 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:13 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5113
Number of communities: 14
Elapsed time: 0 seconds
00:49:14 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:14 Read 1013 rows and found 30 numeric columns
00:49:14 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:14 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:15 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea232bc4dda8
00:49:15 Searching Annoy index using 1 thread, search_k = 3000
00:49:15 Annoy recall = 100%
00:49:16 Commencing smooth kNN distance calibration using 1 thread
00:49:18 Initializing from normalized Laplacian + noise
00:49:18 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:20 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5026
Number of communities: 15
Elapsed time: 0 seconds
00:49:21 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:21 Read 1013 rows and found 30 numeric columns
00:49:21 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:21 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:21 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea233e07d50e
00:49:21 Searching Annoy index using 1 thread, search_k = 3000
00:49:22 Annoy recall = 100%
00:49:23 Commencing smooth kNN distance calibration using 1 thread
00:49:25 Initializing from normalized Laplacian + noise
00:49:25 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:27 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 14

  |                                                  | 0 % ~calculating  
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4950
Number of communities: 15
Elapsed time: 0 seconds
00:49:28 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:28 Read 1013 rows and found 30 numeric columns
00:49:28 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:28 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:28 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea236d2af9cb
00:49:28 Searching Annoy index using 1 thread, search_k = 3000
00:49:29 Annoy recall = 100%
00:49:30 Commencing smooth kNN distance calibration using 1 thread
00:49:32 Initializing from normalized Laplacian + noise
00:49:32 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:34 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
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Calculating cluster 3

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Calculating cluster 4

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Calculating cluster 5

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Calculating cluster 6

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Calculating cluster 7

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Calculating cluster 8

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Calculating cluster 9

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Calculating cluster 10

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Calculating cluster 11

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Calculating cluster 12

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Calculating cluster 13

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Calculating cluster 14

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Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1013
Number of edges: 35954

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4873
Number of communities: 15
Elapsed time: 0 seconds
00:49:35 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:35 Read 1013 rows and found 30 numeric columns
00:49:35 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
00:49:35 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:35 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231c4182e5
00:49:35 Searching Annoy index using 1 thread, search_k = 3000
00:49:36 Annoy recall = 100%
00:49:37 Commencing smooth kNN distance calibration using 1 thread
00:49:39 Initializing from normalized Laplacian + noise
00:49:39 Commencing optimization for 500 epochs, with 38030 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
00:49:41 Optimization finished
Calculating cluster 0

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Calculating cluster 1

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Calculating cluster 2

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Calculating cluster 3

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Calculating cluster 4

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Calculating cluster 5

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Calculating cluster 6

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Calculating cluster 7

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Calculating cluster 8

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Calculating cluster 9

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Calculating cluster 10

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Calculating cluster 11

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Calculating cluster 12

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Calculating cluster 13

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Calculating cluster 14

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marrangeGrob(plots, nrow=2, ncol=2)

ml <- marrangeGrob(plots, nrow=2, ncol=2)
ggsave(filename = '408_sequential_clustering_umaps.pdf', path = file.path(output_dir_plot, '20220721_1'), ml)
Saving 7.29 x 4.5 in image

plot_features_umap <- function(sobj, gene, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#CB2A55')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 0.8)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() +  scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  return(plot)
}
plot_features_umap(jy_408, 'VIP')

genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_umap(jy_408, genes[i], pt.size = 1)
  })
umaps = plot_grid(plotlist = plots, label_size = 10)
ggsave(plot = umaps, filename = 'test_408_umapl_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)
plot_features_xy <- function(sobj, gene, pt.size = 12, space = "XY")
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#CB2A55')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 0.8)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() +  scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  return(plot)
}
plot_features_xy(jy_408[,df_408$IMAGE.NAME == 'TC_1'], 'GSX2')
Error: No cells found

Order the images

unique(df_408$IMAGE.NAME)
images_ordered = c('TC_Cortical3', 'TC_Cortical2', 'TC_Cortical1', 'TC_10', 'TC_9', 'TC_8', 'TC_7', 'TC_6', 'TC_5', 'TC_4', 'TC_3', 'TC_2','TC_1','CC_2','CC_3',
           'CC_4', 'CC_5', 'CC_6', 'CC_7', 'CC_8', 'CC_9', 'CC_10',
           'CC_L2-1', 'CC_L2-2', 'CC_L2-3', 'CC_Cortical1', 'CC_Cortical2')
x_horz = 1:length(images_ordered) * 35
y_horz = rep(0, length(images_ordered))
horz_embedding = data.frame()
df_408$X_horz = -1
df_408$Y_horz = -1

images = list.files(meta_dir)
for(i in 1:length(images_ordered)){
    image_name = images_ordered[i]
    print(image_name)
    split_names = strsplit(image_name, '_')
    cortex = toupper(split_names[[1]][1])
    number = split_names[[1]][2]
    number_csv = paste0('_', number, '.csv')
    filename = images[grepl(cortex, images) & grepl(number_csv, images) & grepl('164', images)]
    coordinates = read.table(file.path(meta_dir, filename), sep = ',', header = TRUE)
    if(image_name == "CC_L2-1"){
      coordinates = coordinates[c(1:37, 39:nrow(coordinates)), ]
    }
    ## checked already that lists are equal, missing 1, 18, 19 for now, layer 1 and others
 
    ## so this is a little tricky, so need to get it right
    ## Remember, it is the top right that the coordinate is coming from, but
    ## the bottom right is the new coordinate space.
    ## so first when we get the original coordinate space, to set to relative
    ## of bottom would be the same X, but 1024 - Y
    
    ## push out the coordinates for better visualization
    #x_repelled <- (512 - coordinates$X_Coordinate_In_pixels)
    
    
    df_408[df_408$IMAGE.NAME == image_name, 'X_horz'] = (coordinates$X_Coordinate_In_pixels / 
                                                      IMAGE_SIZE * IMAGE_LEN) + y_horz[i]
    df_408[df_408$IMAGE.NAME == image_name, 'Y_horz'] = ((1024-coordinates$Y_Coordinate_In_pixels) / 
                                                      IMAGE_SIZE * IMAGE_LEN) + x_horz[i]
}
hcoords = df_408 %>% dplyr::select(c('X_horz', 'Y_horz')) %>% as.matrix()
colnames(hcoords) <- c('pixel_1', 'pixel_2')

jy_408[["H"]] <- CreateDimReducObject(embeddings = hcoords, key = "pixel_", assay = DefaultAssay(jy_408))
plot_features_vertical_spatial <- function(sobj, gene, pt.size = 0.5, space = "H", arc = TRUE)
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#0f4c5c')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 1)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5) + scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(0.5), hjust = 1)) 
  if(arc){plot = plot + geom_hline(yintercept=660, linetype = "dashed",color = colors[3])}
  return(plot)
}
plot_features_vertical_spatial(jy_408, gene = 'GSX2')

plot_features_vertical_spatial_smoothed <- function(sobj, gene, pt.size = 0.5, space = "H", arc = TRUE)
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#0f4c5c')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- gene_df %>%
    filter(!is.na(expr)) %>%
    ggplot(aes(x = X, y = Y, color = expr)) +stat_density_2d(aes(fill = ..density..), geom = "raster", n = 400,contour = FALSE, interpolate = TRUE) +
  scale_x_continuous(expand = c(0, 0)) +
  scale_y_continuous(expand = c(0, 0)) +
#geom_bin2d(bins = 10) + #geom_point(size = pt.size, alpha = 1)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5) + scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(0.5), hjust = 1)) 
  if(arc){plot = plot + geom_hline(yintercept=660, linetype = "dashed",color = colors[3])}
  return(plot)
}
plot_features_vertical_spatial_smoothed(jy_408, gene = 'PAX6')

genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_vertical_spatial_smoothed(jy_408, genes[i], pt.size = 1)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
verts

#ggsave(plot = verts, filename = 'test_408_vertical_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)

Do the clustering stuff here

plot_clusters_vertical_spatial <- function(sobj, cluster, clustering = NULL, anterior = FALSE, cluster_color =  '#CB2A55', pt.size = 1, space = "H", arc = TRUE)
{
  cluster_identity = as.numeric(unlist(ifelse(is.null(clustering),
                                              Idents(sobj),sobj[[clustering]]))) == (cluster)
  coordinates <- Embeddings(sobj, reduction = space)
  gene_df <- as.data.frame(cbind(coordinates, cluster_identity))
  colnames(gene_df) <- c('X', 'Y', 'clust')
  gene_df <- gene_df %>% dplyr::arrange(clust)
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = factor(clust))) + geom_point(size = pt.size, alpha = 1) +  
            theme_classic() + ggtitle(cluster) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5)  + theme(title = element_text(face = 'bold', size = rel(0.8), hjust = 1)) 
  cluster_color = scales::hue_pal()(nrow(unique(sobj[[clustering]])))[cluster]
  plot = plot + scale_colour_manual(values = c('grey90', cluster_color))
  intercept = ifelse(anterior, 660, 484)
  if(arc){plot = plot + geom_hline(yintercept=484, linetype = "dashed",color = cluster_color)}
  return(plot)
}
plot_clusters_vertical_spatial(jy_408, pt.size = 1, cluster = 1, clustering = 'RNA_snn_res.1.5')

clusters = as.numeric(sort(unique(jy_408$RNA_snn_res.1.5)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_408, cluster = clusters[i], pt.size = 1, clustering = 'RNA_snn_res.1.5')
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 6, height = 8, dpi = 150)
plot_clusters_umap <- function(sobj, clustering, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- sobj[[clustering]]
  #expmat  = as.character(Idents(sobj))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df$X = as.numeric(gene_df$X)
  gene_df$Y = as.numeric(gene_df$Y)
  summary_gene_df = gene_df %>% dplyr::group_by(expr) %>% dplyr::summarise(xmean = mean(X), ymean = mean(Y))
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = as.factor(expr))) + geom_point(size = pt.size, alpha = 0.8)+ geom_label(data = summary_gene_df,
                                                                                                                 mapping = aes(x = xmean, 
                           y = ymean), 
                           label = summary_gene_df$expr) +
            theme_classic() + ggtitle(clustering) + NoAxes() + NoLegend()  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  cluster_colors = scales::hue_pal()(nrow(unique(expmat)))
  plot = plot + scale_colour_manual(values = cluster_colors)
  return(plot)
}
p = plot_clusters_umap(jy_408, clustering ='RNA_snn_res.1.5')
p

scales::hue_pal()(3)
DimPlot(jy_408, cells.highlight = list('migratory' = which(grepl('MS', df_408$area))), cols.highlight = '#CB2A55')
small_dimplot <- function(sobj, grep_pattern){
  dp = DimPlot(jy_408, cells.highlight = list(imp = which(grepl(grep_pattern, df_408$area))))
  dp <- dp + scale_color_manual(values = c('grey90', '#0f4c5c'), labels=c('other', grep_pattern)) + NoAxes()
}

patterns = c('408_CC', 'MS_CC', 'vMS_TC', 'dMS_TC', '408_TC')
plots <- lapply(1:length(patterns), function(i){
    small_dimplot(jy_408, grep_pattern = patterns[i])
  })
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
areas = plot_grid(plotlist = plots, label_size = 10, nrow = 2)
ggsave(plot = areas, filename = 'test_408_area_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 12, height = 3, dpi = 150)
DimPlot(jy_408, cells.highlight = list('CC' = which(grepl('CC', df_408$area))), cols.highlight = '#CB2A55')
jy_164<- RenameCells(jy_164, c(outer('164_', 1:ncol(jy_164), FUN=paste0)))
jy_164$area = df_164$area
jy_408<- RenameCells(jy_408, c(outer('408_', 1:ncol(jy_408), FUN=paste0)))
jy_408$area = df_408$area
jy_all <- merge(jy_164, jy_408)
jy_all <- NormalizeData(jy_all, scale.factor = 1e5) ###
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
normed = GetAssayData(jy_all, slot = 'data')
normed[normed < 3] = 0
jy_all <- SetAssayData(jy_all, slot = 'data', normed)
jy_all <- FindVariableFeatures(jy_all, selection.method = "vst")
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
all.genes <- rownames(jy_all)
jy_all <- ScaleData(jy_all, features = all.genes)
Centering and scaling data matrix

  |                                                                                                                                                           
  |                                                                                                                                                     |   0%
  |                                                                                                                                                           
  |=====================================================================================================================================================| 100%
jy_all <- RunPCA(jy_all, approx = FALSE)
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
Warning: Requested number is larger than the number of available items (32). Setting to 32.
PC_ 1 
Positive:  ASCL1, CXCR4, KIA0319, SATB2, RELN, PAX6, CXCL12, EMX1, VIP, CALB2 
       DCDC2, DLX2, VLDLR, EOMES, SST, LHX6 
Negative:  DCX, SCGN, GSX2, NKX2.1, TSHZ1, TBR1, LRP8, COUPTF2, SP8, EGFR 
       CXCR7, CXCL14, PROX1, MAF1, GAD1, NCAM1 
PC_ 2 
Positive:  GAD1, MAF1, VIP, LHX6, NKX2.1, PROX1, DLX2, CXCR4, SST, TSHZ1 
       SP8, GSX2, VLDLR, RELN, CXCR7, COUPTF2 
Negative:  TBR1, DCX, KIA0319, DCDC2, LRP8, EOMES, SATB2, EGFR, CALB2, CXCL12 
       NCAM1, EMX1, PAX6, ASCL1, CXCL14, SCGN 
PC_ 3 
Positive:  NCAM1, RELN, ASCL1, PAX6, SATB2, SST, MAF1, EMX1, VLDLR, EGFR 
       CXCR7, CXCL14, TSHZ1, DCX, SCGN, GSX2 
Negative:  COUPTF2, LRP8, LHX6, EOMES, TBR1, SP8, GAD1, DLX2, CXCR4, PROX1 
       NKX2.1, CALB2, CXCL12, DCDC2, VIP, KIA0319 
PC_ 4 
Positive:  SST, RELN, DLX2, LRP8, LHX6, PAX6, GAD1, CALB2, CXCL12, CXCR4 
       TBR1, VIP, ASCL1, SATB2, KIA0319, EMX1 
Negative:  TSHZ1, PROX1, CXCR7, NCAM1, SCGN, NKX2.1, EGFR, VLDLR, SP8, CXCL14 
       GSX2, DCX, DCDC2, COUPTF2, EOMES, MAF1 
PC_ 5 
Positive:  SP8, SCGN, PAX6, DLX2, EMX1, NKX2.1, SATB2, COUPTF2, ASCL1, SST 
       RELN, PROX1, VLDLR, TBR1, DCX, KIA0319 
Negative:  GAD1, CXCL14, NCAM1, EGFR, VIP, LRP8, DCDC2, CXCR4, MAF1, CXCR7 
       GSX2, LHX6, CXCL12, EOMES, CALB2, TSHZ1 
jy_all <- FindNeighbors(jy_all, dims = 1:30)
Computing nearest neighbor graph
Computing SNN
jy_all <- FindClusters(jy_all, resolution = 1.5)
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6181
Number of communities: 13
Elapsed time: 0 seconds
jy_all <- RunUMAP(jy_all, dims = 1:30)
02:15:18 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:15:18 Read 1815 rows and found 30 numeric columns
02:15:18 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:15:18 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:15:18 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2320b00f92
02:15:18 Searching Annoy index using 1 thread, search_k = 3000
02:15:18 Annoy recall = 100%
02:15:20 Commencing smooth kNN distance calibration using 1 thread
02:15:22 Initializing from normalized Laplacian + noise
02:15:22 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:15:25 Optimization finished
DimPlot(jy_all,  reduction = "umap", group.by = 'seurat_clusters') + NoAxes()

breakpoints = 1:20/10 + 0.1
plots = list()
jy_all <- FindNeighbors(jy_all, dims = 1:30)
Computing nearest neighbor graph
Computing SNN
i = 1
for (breakpoint in breakpoints){
  jy_all <- FindClusters(jy_all, resolution = breakpoint)
  jy_all <- RunUMAP(jy_all, dims = 1:30)
  jy_all.markers <- FindAllMarkers(jy_all, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
  labels = jy_all.markers %>%
   group_by(cluster) %>%
   slice_max(n = 1, order_by = avg_log2FC)
  new.cluster.ids <- labels$gene
  names(new.cluster.ids) <- levels(jy_all)
  jy_all <- RenameIdents(jy_all, new.cluster.ids)
  plots[[i]] = DimPlot(jy_all, reduction = "umap", pt.size = 1, label = TRUE) + NoAxes() + NoLegend() + ggtitle(breakpoint)
  i = i + 1
}
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.8486
Number of communities: 3
Elapsed time: 0 seconds
02:03:43 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:43 Read 1815 rows and found 30 numeric columns
02:03:43 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:43 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:03:43 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea237f2f9479
02:03:43 Searching Annoy index using 1 thread, search_k = 3000
02:03:44 Annoy recall = 100%
02:03:45 Commencing smooth kNN distance calibration using 1 thread
02:03:47 Initializing from normalized Laplacian + noise
02:03:47 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:03:50 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
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  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.8136
Number of communities: 3
Elapsed time: 0 seconds
02:03:50 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:50 Read 1815 rows and found 30 numeric columns
02:03:50 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:50 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:03:50 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea232ef73e4e
02:03:50 Searching Annoy index using 1 thread, search_k = 3000
02:03:51 Annoy recall = 100%
02:03:52 Commencing smooth kNN distance calibration using 1 thread
02:03:54 Initializing from normalized Laplacian + noise
02:03:54 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:03:57 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
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  |++++++++++++++++++++++++                          | 47% ~00s          
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  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
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  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7872
Number of communities: 5
Elapsed time: 0 seconds
02:03:58 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:58 Read 1815 rows and found 30 numeric columns
02:03:58 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:03:58 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:03:58 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2325f2042
02:03:58 Searching Annoy index using 1 thread, search_k = 3000
02:03:58 Annoy recall = 100%
02:03:59 Commencing smooth kNN distance calibration using 1 thread
02:04:01 Initializing from normalized Laplacian + noise
02:04:01 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:04 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
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  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
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  |++++++++++++++++++++++++++++++                    | 58% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7669
Number of communities: 6
Elapsed time: 0 seconds
02:04:05 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:05 Read 1815 rows and found 30 numeric columns
02:04:05 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:05 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:05 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea237fab9b2d
02:04:05 Searching Annoy index using 1 thread, search_k = 3000
02:04:06 Annoy recall = 100%
02:04:07 Commencing smooth kNN distance calibration using 1 thread
02:04:09 Initializing from normalized Laplacian + noise
02:04:09 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:12 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
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  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
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  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7476
Number of communities: 6
Elapsed time: 0 seconds
02:04:12 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:12 Read 1815 rows and found 30 numeric columns
02:04:12 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:12 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:13 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23d0515
02:04:13 Searching Annoy index using 1 thread, search_k = 3000
02:04:13 Annoy recall = 100%
02:04:14 Commencing smooth kNN distance calibration using 1 thread
02:04:16 Initializing from normalized Laplacian + noise
02:04:16 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:19 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7288
Number of communities: 7
Elapsed time: 0 seconds
02:04:20 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:20 Read 1815 rows and found 30 numeric columns
02:04:20 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:20 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:20 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2325fee09b
02:04:20 Searching Annoy index using 1 thread, search_k = 3000
02:04:21 Annoy recall = 100%
02:04:22 Commencing smooth kNN distance calibration using 1 thread
02:04:24 Initializing from normalized Laplacian + noise
02:04:24 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:27 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.7115
Number of communities: 8
Elapsed time: 0 seconds
02:04:28 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:28 Read 1815 rows and found 30 numeric columns
02:04:28 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:28 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:28 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2393f62a0
02:04:28 Searching Annoy index using 1 thread, search_k = 3000
02:04:28 Annoy recall = 100%
02:04:29 Commencing smooth kNN distance calibration using 1 thread
02:04:31 Initializing from normalized Laplacian + noise
02:04:32 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:34 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6943
Number of communities: 8
Elapsed time: 0 seconds
02:04:35 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:35 Read 1815 rows and found 30 numeric columns
02:04:35 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:35 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:35 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23559d44e3
02:04:35 Searching Annoy index using 1 thread, search_k = 3000
02:04:36 Annoy recall = 100%
02:04:37 Commencing smooth kNN distance calibration using 1 thread
02:04:39 Initializing from normalized Laplacian + noise
02:04:39 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:42 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6791
Number of communities: 9
Elapsed time: 0 seconds
02:04:43 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:43 Read 1815 rows and found 30 numeric columns
02:04:43 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:43 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:43 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23a90ae58
02:04:43 Searching Annoy index using 1 thread, search_k = 3000
02:04:44 Annoy recall = 100%
02:04:45 Commencing smooth kNN distance calibration using 1 thread
02:04:47 Initializing from normalized Laplacian + noise
02:04:47 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:50 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6667
Number of communities: 11
Elapsed time: 0 seconds
02:04:51 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:51 Read 1815 rows and found 30 numeric columns
02:04:51 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:51 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:51 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2320a7dbd6
02:04:51 Searching Annoy index using 1 thread, search_k = 3000
02:04:51 Annoy recall = 100%
02:04:52 Commencing smooth kNN distance calibration using 1 thread
02:04:55 Initializing from normalized Laplacian + noise
02:04:55 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:57 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |++++++++                                          | 14% ~00s          
  |+++++++++++                                       | 21% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 36% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6548
Number of communities: 11
Elapsed time: 0 seconds
02:04:59 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:59 Read 1815 rows and found 30 numeric columns
02:04:59 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:04:59 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:04:59 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23422f68e5
02:04:59 Searching Annoy index using 1 thread, search_k = 3000
02:04:59 Annoy recall = 100%
02:05:00 Commencing smooth kNN distance calibration using 1 thread
02:05:02 Initializing from normalized Laplacian + noise
02:05:02 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:05 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |++++++++                                          | 14% ~00s          
  |+++++++++++                                       | 21% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 36% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6429
Number of communities: 11
Elapsed time: 0 seconds
02:05:07 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:07 Read 1815 rows and found 30 numeric columns
02:05:07 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:07 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:07 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23467c885a
02:05:07 Searching Annoy index using 1 thread, search_k = 3000
02:05:07 Annoy recall = 100%
02:05:08 Commencing smooth kNN distance calibration using 1 thread
02:05:10 Initializing from normalized Laplacian + noise
02:05:10 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:13 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6301
Number of communities: 12
Elapsed time: 0 seconds
02:05:15 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:15 Read 1815 rows and found 30 numeric columns
02:05:15 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:15 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:15 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2368cdc611
02:05:15 Searching Annoy index using 1 thread, search_k = 3000
02:05:15 Annoy recall = 100%
02:05:16 Commencing smooth kNN distance calibration using 1 thread
02:05:18 Initializing from normalized Laplacian + noise
02:05:18 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:21 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 6 % ~00s          
  |+++++++                                           | 12% ~00s          
  |++++++++++                                        | 19% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |++++++++++++++++++++++                            | 44% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 56% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 81% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 94% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6181
Number of communities: 13
Elapsed time: 0 seconds
02:05:23 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:23 Read 1815 rows and found 30 numeric columns
02:05:23 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:23 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:23 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231eb4d391
02:05:23 Searching Annoy index using 1 thread, search_k = 3000
02:05:23 Annoy recall = 100%
02:05:24 Commencing smooth kNN distance calibration using 1 thread
02:05:27 Initializing from normalized Laplacian + noise
02:05:27 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:29 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6079
Number of communities: 14
Elapsed time: 0 seconds
02:05:31 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:31 Read 1815 rows and found 30 numeric columns
02:05:31 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:31 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:31 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea231da498b5
02:05:31 Searching Annoy index using 1 thread, search_k = 3000
02:05:31 Annoy recall = 100%
02:05:33 Commencing smooth kNN distance calibration using 1 thread
02:05:35 Initializing from normalized Laplacian + noise
02:05:35 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:38 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |++++++++                                          | 14% ~00s          
  |+++++++++++                                       | 21% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 36% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++                             | 42% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 58% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5984
Number of communities: 14
Elapsed time: 0 seconds
02:05:39 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:39 Read 1815 rows and found 30 numeric columns
02:05:39 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:39 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:39 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea2329f22371
02:05:39 Searching Annoy index using 1 thread, search_k = 3000
02:05:40 Annoy recall = 100%
02:05:41 Commencing smooth kNN distance calibration using 1 thread
02:05:43 Initializing from normalized Laplacian + noise
02:05:43 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:46 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5887
Number of communities: 14
Elapsed time: 0 seconds
02:05:47 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:47 Read 1815 rows and found 30 numeric columns
02:05:47 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:47 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:47 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23e0da122
02:05:47 Searching Annoy index using 1 thread, search_k = 3000
02:05:48 Annoy recall = 100%
02:05:49 Commencing smooth kNN distance calibration using 1 thread
02:05:51 Initializing from normalized Laplacian + noise
02:05:51 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:54 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5792
Number of communities: 14
Elapsed time: 0 seconds
02:05:56 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:56 Read 1815 rows and found 30 numeric columns
02:05:56 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:05:56 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:05:56 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23481db9ed
02:05:56 Searching Annoy index using 1 thread, search_k = 3000
02:05:56 Annoy recall = 100%
02:05:57 Commencing smooth kNN distance calibration using 1 thread
02:05:59 Initializing from normalized Laplacian + noise
02:05:59 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:06:02 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5694
Number of communities: 14
Elapsed time: 0 seconds
02:06:04 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:06:04 Read 1815 rows and found 30 numeric columns
02:06:04 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:06:04 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:06:04 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea237141cf31
02:06:04 Searching Annoy index using 1 thread, search_k = 3000
02:06:04 Annoy recall = 100%
02:06:06 Commencing smooth kNN distance calibration using 1 thread
02:06:08 Initializing from normalized Laplacian + noise
02:06:08 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:06:11 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |++++++++                                          | 14% ~00s          
  |+++++++++++                                       | 21% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 36% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |++++                                              | 8 % ~00s          
  |++++++++                                          | 15% ~00s          
  |++++++++++++                                      | 23% ~00s          
  |++++++++++++++++                                  | 31% ~00s          
  |++++++++++++++++++++                              | 38% ~00s          
  |++++++++++++++++++++++++                          | 46% ~00s          
  |+++++++++++++++++++++++++++                       | 54% ~00s          
  |+++++++++++++++++++++++++++++++                   | 62% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 92% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 10

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 11

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 12

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 13

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1815
Number of edges: 61694

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.5602
Number of communities: 15
Elapsed time: 0 seconds
02:06:12 UMAP embedding parameters a = 0.9922 b = 1.112
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:06:12 Read 1815 rows and found 30 numeric columns
02:06:12 Using Annoy for neighbor search, n_neighbors = 30
Found more than one class "dist" in cache; using the first, from namespace 'spam'
Also defined by ‘BiocGenerics’
02:06:12 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:06:12 Writing NN index file to temp file /tmp/RtmpUBNEaB/file4ea23591624a
02:06:12 Searching Annoy index using 1 thread, search_k = 3000
02:06:13 Annoy recall = 100%
02:06:14 Commencing smooth kNN distance calibration using 1 thread
02:06:16 Initializing from normalized Laplacian + noise
02:06:16 Commencing optimization for 500 epochs, with 70074 positive edges
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
02:06:19 Optimization finished
Calculating cluster 0

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 1

  |                                                  | 0 % ~calculating  
  |++++++++                                          | 14% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 2

  |                                                  | 0 % ~calculating  
  |++++++                                            | 11% ~00s          
  |++++++++++++                                      | 22% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |+++++++++++++++++++++++                           | 44% ~00s          
  |++++++++++++++++++++++++++++                      | 56% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 3

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |+++++++                                           | 13% ~00s          
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++                                 | 33% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 4

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 5

  |                                                  | 0 % ~calculating  
  |++++++++++                                        | 20% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 6

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 7

  |                                                  | 0 % ~calculating  
  |+++++++                                           | 12% ~00s          
  |+++++++++++++                                     | 25% ~00s          
  |+++++++++++++++++++                               | 38% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++++                  | 62% ~00s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 8

  |                                                  | 0 % ~calculating  
  |+++++                                             | 10% ~00s          
  |++++++++++                                        | 20% ~00s          
  |+++++++++++++++                                   | 30% ~00s          
  |++++++++++++++++++++                              | 40% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |++++++++++++++++++++++++++++++                    | 60% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster 9

  |                                                  | 0 % ~calculating  
  |+++++                                             | 8 % ~00s          
  |+++++++++                                         | 17% ~00s          
  |+++++++++++++                                     | 25% ~00s          
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Calculating cluster 10

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Calculating cluster 11

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Calculating cluster 12

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Calculating cluster 13

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Calculating cluster 14

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marrangeGrob(plots, nrow=2, ncol=2)

ml <- marrangeGrob(plots, nrow=2, ncol=2)
ggsave(filename = 'all_sequential_clustering_umaps.pdf', path = file.path(output_dir_plot, '20220721_1'), ml)
Saving 7.29 x 4.5 in image

big_dimplot <- function(sobj, grep_pattern){
  dp = DimPlot(sobj, cells.highlight = list(imp = which(grepl(grep_pattern, sobj$area))))
  dp <- dp + scale_color_manual(values = c('grey90', '#1982c4'), labels=c('other', grep_pattern)) + NoAxes()
}
patterns = c('408_CC', '408_MS_CC', 'vMS_TC', 'dMS_TC', '408_TC', '164_CC', '164_MS_CC', '164_MS_TC',  '164_TC')
plots <- lapply(1:length(patterns), function(i){
    big_dimplot(jy_all, grep_pattern = patterns[i])
  })
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
Scale for 'colour' is already present. Adding another scale for 'colour', which will replace the existing scale.
areas = plot_grid(plotlist = plots, label_size = 10, nrow = 3)
areas

ggsave(plot = areas, filename = 'test_all_area_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 14, height = 8, dpi = 150)
plot_clusters_umap(jy_all, clustering ='RNA_snn_res.1.5', pt.size = 2.0)

jy_all.markers <- FindAllMarkers(jy_all, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
Calculating cluster 0

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Calculating cluster 1

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Calculating cluster 2

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Calculating cluster 3

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Calculating cluster 4

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Calculating cluster 5

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Calculating cluster 6

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Calculating cluster 7

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Calculating cluster 8

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Calculating cluster 9

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Calculating cluster 10

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Calculating cluster 11

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Calculating cluster 12

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Warning message:
In fun(libname, pkgname) : couldn't connect to display ":0"
jy_all.markers %>%
   group_by(cluster) %>%
   slice_max(n = 32, order_by = avg_log2FC)
clusters_164 = jy_all$RNA_snn_res.1.5[1:ncol(jy_164)]
jy_164$unified_clusters = clusters_164
clusters_408 = jy_all$RNA_snn_res.1.5[(ncol(jy_164)+1):ncol(jy_all)]
jy_408$unified_clusters = clusters_408
clusters = as.numeric(sort(unique(jy_408$unified_clusters)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_408, cluster = clusters[i], pt.size = 1, clustering = 'unified_clusters', anterior = FALSE)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_unified_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 5, height = 8, dpi = 150)
clusters = as.numeric(sort(unique(jy_164$unified_clusters)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_164, cluster = clusters[i], pt.size = 1, clustering = 'unified_clusters', anterior = TRUE)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_164_unified_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 5, height = 8, dpi = 150)
genes = rownames(markers2)
plots <- lapply(1:length(genes), function(i){
    plot_features_umap(jy_all, genes[i], pt.size = 0.5)
  })
umaps = plot_grid(plotlist = plots, label_size = 10, nrow = 1)
umaps

ggsave(plot = umaps, filename = 'cluster7_markers_all_umapl_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 8, height = 1, dpi = 150)
jy_all_7.markers <- FindMarkers(jy_all, ident.1 = 7, ident.2 = NULL, only.pos = FALSE)

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markers2 = jy_all_7.markers %>%
   slice_max(n = 5, order_by = avg_log2FC)
markers2
new.cluster.ids = c('TBR1+/LRP8+ MS to TC', 
              'PROX1 and NKX2.1 Immature INs',
'Immature CALB2+ CGE interneuron',
 'Excitatory CXCL12+ Neurons',
'Cajal Retzius Cells',
'Mature, SST+ MGE INs',
 'Mature, VIP+ CGE INs',
 'MAF1+/TSHZ1+ Immature INs',
 'Layer 2 Excitatory Neurons',
 'CXCR4+ Posterior, MS to TC INs',
'EMX1+/NKX2.1+ Anterior, MS to CC INs',
 'EMX1+/LHX6+ Posterior, MS to CC INs',
 'GSX2+/RELN+/PAX6+ Clump')
names(new.cluster.ids) <- levels(jy_all)
jy_all <- RenameIdents(jy_all, new.cluster.ids)
library(ggrepel)
Warning message:
In fun(libname, pkgname) : couldn't connect to display ":0"
plot_clusters_umap <- function(sobj, clustering, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  #expmat <- sobj[[clustering]]
  expmat  = as.character(Idents(jy_all))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df$X = as.numeric(gene_df$X)
  gene_df$Y = as.numeric(gene_df$Y)
  summary_gene_df = gene_df %>% dplyr::group_by(expr) %>% dplyr::summarise(xmean = mean(X), ymean = mean(Y))
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = as.factor(expr))) + geom_point(size = pt.size, alpha = 0.8) + #+ geom_label_repel(data = summary_gene_df,
                                                                                                                # mapping = aes(x = xmean, 
                           #y = ymean), 
                           #label = summary_gene_df$expr) +
            theme_classic() + ggtitle(clustering) + NoAxes() + #NoLegend()  + 
    theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  cluster_colors = scales::hue_pal()(length(unique(expmat)))
  plot = plot + scale_colour_manual(values = cluster_colors)
  return(plot)
}

plot_clusters_umap(jy_all, clustering = '', pt.size = 2.0)

genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_vertical_spatial(jy_408, genes[i], pt.size = 1)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_vertical_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)
---
title: "st_408"
output: html_notebook
---

Written by Aunoy Poddar
July 21st, 2022

# Process the puncta quantified raw data
```{r eval=FALSE}
current_file <- rstudioapi::getActiveDocumentContext()$path
output_file <- stringr::str_replace(current_file, '.Rmd', '.R')
knitr::purl(current_file, output = output_file)
file.edit(output_file)
```

## Import packages and functions
```{r}
library(Seurat)
library(tictoc)
library(ggplot2)
library(patchwork)
library(pheatmap)
library(RColorBrewer)
library(tidyverse)
library(gridExtra)
library(png)
library(cowplot)
library(magick)
library(scales)
```

## Load the data
```{r}
data_dir = '/home/aunoy/st/arc_profiling/st_analysis/hand_annotated_data/rethresholded'
meta_dir = '/home/aunoy/st/arc_profiling/st_analysis/hand_annotated_data/overlay'
output_dir_plot = '/home/aunoy/st/arc_profiling/st_analysis/results/plots'
output_dir_tbls = '/home/aunoy/st/arc_profiling/st_analysis/results/tables'
```


### Merge both datasets and generate a metadata column that corresponds
### to the cell #
```{r}
df_408 = data.frame()
for (file_name in list.files(data_dir)){
  print(file_name)
  if(grepl('164', file_name)){
    next
  }
  #if(grepl('408_TC', file_name) | grepl('408_vMS', file_name)){
  #  next
  #}
  df_to_append <- read.table(file.path(data_dir, file_name), sep = ',', header = TRUE)
  while(length(ind <- which(df_to_append$Image.Name == "")) > 0){
    df_to_append$Image.Name[ind] <- df_to_append$Image.Name[ind -1]
  }
  
  colnames(df_to_append) <- toupper(colnames(df_to_append))
  df_to_append <- df_to_append %>%
    mutate(area = strsplit(file_name, '.csv')[[1]])
  
  ## Add relative_XY_position
  
  if(!is_empty(df_408)){
    df_to_append <- df_to_append %>%
          dplyr::select(colnames(df_408))
  }
  df_408 <- rbind(df_408, df_to_append)
}
```
```{r}
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='_Cluster', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='[*]', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='X', replacement=''))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='L2_', replacement='L2-'))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='-L2', replacement='_L2'))
df_408$IMAGE.NAME = unlist(lapply(df_408$IMAGE.NAME, gsub, pattern='Tc_12', replacement='TC_12'))
## Missing
df_408 = df_408[df_408$IMAGE.NAME != 'Layer1', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_1', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_18', ]
df_408 = df_408[df_408$IMAGE.NAME != 'TC_19', ]
#df_408$IMAGE.NAME = toupper(df_408$IMAGE.NAME)
unique(df_408$IMAGE.NAME)
```
## Now we know that everything is equal to one another, we should load the variable

```{r}
images_ordered = c('TC_20', 'TC_17', 'TC_16', 'TC_15', 'TC_14', 'TC_13', 'TC_12', 'TC_11', 'TC_10', 'TC_9', 'TC_8', 'TC_7', 'TC_6', 'TC_5',
                   'TC_4', 'TC_3', 'TC_2', 'CC_4', 'CC_5', 'CC_6', 'CC_7', 'CC_8', 'CC_9', 'CC_10', 'CC_11', 'CC_12', 'CC_L2-3', 'CC_L2-2', 'CC_L2-1', 'CC_Cortical1', 'CC_Cortical2')
```

```{r}
x_horz = 1:length(images_ordered) * 35
y_horz = rep(0, length(images_ordered))
horz_embedding = data.frame()
df_408$X_horz = -1
df_408$Y_horz = -1
IMAGE_SIZE = 1024
## This is the size of an image in the global coordinate space
IMAGE_LEN = 25

images = list.files(meta_dir)
for(i in 1:length(images_ordered)){
    image_name = images_ordered[i]
    print(image_name)
    split_names = strsplit(image_name, '_')
    cortex = toupper(split_names[[1]][1])
    number = split_names[[1]][2]
    number_csv = paste0('_', number, '.csv')
    filename = images[grepl(cortex, images) & grepl(number_csv, images) & grepl('408', images)]
    coordinates = read.table(file.path(meta_dir, filename), sep = ',', header = TRUE)
    ## checked already that lists are equal, missing 1, 18, 19 for now, layer 1 and others
 
    ## so this is a little tricky, so need to get it right
    ## Remember, it is the top right that the coordinate is coming from, but
    ## the bottom right is the new coordinate space.
    ## so first when we get the original coordinate space, to set to relative
    ## of bottom would be the same X, but 1024 - Y
    
    ## push out the coordinates for better visualization
    #x_repelled <- (512 - coordinates$X_Coordinate_In_pixels)
    
    
    df_408[df_408$IMAGE.NAME == image_name, 'X_horz'] = (coordinates$X_Coordinate_In_pixels / 
                                                      IMAGE_SIZE * IMAGE_LEN) + y_horz[i]
    df_408[df_408$IMAGE.NAME == image_name, 'Y_horz'] = ((1024-coordinates$Y_Coordinate_In_pixels) / 
                                                      IMAGE_SIZE * IMAGE_LEN) + x_horz[i]
}
```

## We have the coordinates for 408_TC and others
```{r}
rownames(df_408) = 1:nrow(df_408)
jy_408 = df_408 %>%
  dplyr::select(-c(area, IMAGE.NAME, X_horz, Y_horz)) %>%
  t() %>%
  CreateSeuratObject()
```

## just set everything from below 1 in ratio to zero
```{r}
jy_408 <- NormalizeData(jy_408, scale.factor = 1e5) ###
normed = GetAssayData(jy_408, slot = 'data')
normed[normed < 3] = 0
jy_408 <- SetAssayData(jy_408, slot = 'data', normed)
```

```{r}
jy_408$gad1_true = normed['GAD1',] != 0 #& normed['SATB2',] == 0
```

```{r}
DimPlot(jy_408, #cells = grepl('CC', df_408$area), 
        cols = c('purple', 'grey'), reduction = "XY", pt.size = 0.2, group.by = 'gad1_true', order = which(jy_408$gad1_true)) + coord_fixed(ratio = 1)
```
```{r}
jy_408 <- FindVariableFeatures(jy_408, selection.method = "vst")
all.genes <- rownames(jy_408)
jy_408 <- ScaleData(jy_408, features = all.genes)
jy_408 <- RunPCA(jy_408, approx = FALSE)
jy_408 <- FindNeighbors(jy_408, dims = 1:30)
jy_408 <- FindClusters(jy_408, resolution = 1.5)
jy_408 <- RunUMAP(jy_408, dims = 1:30)

DimPlot(jy_408,  reduction = "umap", group.by = 'seurat_clusters') + NoAxes()
```

```{r}
DimPlot(jy_408, reduction = "H", pt.size = 1, split.by = 'seurat_clusters') + NoAxes() + NoLegend()
```
```{r}
jy_408.markers <- FindAllMarkers(jy_408, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
jy_408.markers %>%
   group_by(cluster) %>%
   slice_max(n = 32, order_by = avg_log2FC)
```
```{r}
jy_408_0v4.markers <- FindMarkers(jy_408, ident.1 = 10, ident.2 = 9, only.pos = TRUE)
# view results
head(jy_408_0v4.markers)
```


```{r}
breakpoints = 1:20/10+0.3
plots = list()
jy_408 <- FindNeighbors(jy_408, dims = 1:30)
i = 1
for (breakpoint in breakpoints){
  jy_408 <- FindClusters(jy_408, resolution = breakpoint)
  jy_408 <- RunUMAP(jy_408, dims = 1:30)
  jy_408.markers <- FindAllMarkers(jy_408, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
  labels = jy_408.markers %>%
   group_by(cluster) %>%
   slice_max(n = 1, order_by = avg_log2FC)
  new.cluster.ids <- labels$gene
  names(new.cluster.ids) <- levels(jy_408)
  jy_408 <- RenameIdents(jy_408, new.cluster.ids)
  plots[[i]] = DimPlot(jy_408, reduction = "umap", pt.size = 1, label = TRUE) + NoAxes() + NoLegend() + ggtitle(breakpoint)
  i = i + 1
}

marrangeGrob(plots, nrow=2, ncol=2)
ml <- marrangeGrob(plots, nrow=2, ncol=2)
ggsave(filename = '408_sequential_clustering_umaps.pdf', path = file.path(output_dir_plot, '20220721_1'), ml)
```

```{r}
plot_features_umap <- function(sobj, gene, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#CB2A55')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 0.8)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() +  scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  return(plot)
}
plot_features_umap(jy_408, 'VIP')
```
```{r fig.height=8, fig.width=18}
genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_umap(jy_408, genes[i], pt.size = 1)
  })
umaps = plot_grid(plotlist = plots, label_size = 10)
ggsave(plot = umaps, filename = 'test_408_umapl_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)

```
```{r}
plot_features_xy <- function(sobj, gene, pt.size = 12, space = "XY")
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#CB2A55')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 0.8)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() +  scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  return(plot)
}
plot_features_xy(jy_408[,df_408$IMAGE.NAME == 'TC_1'], 'GSX2')
```
## Order the images
```{r}
unique(df_408$IMAGE.NAME)
images_ordered = c('TC_Cortical3', 'TC_Cortical2', 'TC_Cortical1', 'TC_10', 'TC_9', 'TC_8', 'TC_7', 'TC_6', 'TC_5', 'TC_4', 'TC_3', 'TC_2','TC_1','CC_2','CC_3',
           'CC_4', 'CC_5', 'CC_6', 'CC_7', 'CC_8', 'CC_9', 'CC_10',
           'CC_L2-1', 'CC_L2-2', 'CC_L2-3', 'CC_Cortical1', 'CC_Cortical2')
```

```{r}
x_horz = 1:length(images_ordered) * 35
y_horz = rep(0, length(images_ordered))
horz_embedding = data.frame()
df_408$X_horz = -1
df_408$Y_horz = -1

images = list.files(meta_dir)
for(i in 1:length(images_ordered)){
    image_name = images_ordered[i]
    print(image_name)
    split_names = strsplit(image_name, '_')
    cortex = toupper(split_names[[1]][1])
    number = split_names[[1]][2]
    number_csv = paste0('_', number, '.csv')
    filename = images[grepl(cortex, images) & grepl(number_csv, images) & grepl('164', images)]
    coordinates = read.table(file.path(meta_dir, filename), sep = ',', header = TRUE)
    if(image_name == "CC_L2-1"){
      coordinates = coordinates[c(1:37, 39:nrow(coordinates)), ]
    }
    ## checked already that lists are equal, missing 1, 18, 19 for now, layer 1 and others
 
    ## so this is a little tricky, so need to get it right
    ## Remember, it is the top right that the coordinate is coming from, but
    ## the bottom right is the new coordinate space.
    ## so first when we get the original coordinate space, to set to relative
    ## of bottom would be the same X, but 1024 - Y
    
    ## push out the coordinates for better visualization
    #x_repelled <- (512 - coordinates$X_Coordinate_In_pixels)
    
    
    df_408[df_408$IMAGE.NAME == image_name, 'X_horz'] = (coordinates$X_Coordinate_In_pixels / 
                                                      IMAGE_SIZE * IMAGE_LEN) + y_horz[i]
    df_408[df_408$IMAGE.NAME == image_name, 'Y_horz'] = ((1024-coordinates$Y_Coordinate_In_pixels) / 
                                                      IMAGE_SIZE * IMAGE_LEN) + x_horz[i]
}
```

```{r}
hcoords = df_408 %>% dplyr::select(c('X_horz', 'Y_horz')) %>% as.matrix()
colnames(hcoords) <- c('pixel_1', 'pixel_2')

jy_408[["H"]] <- CreateDimReducObject(embeddings = hcoords, key = "pixel_", assay = DefaultAssay(jy_408))
```

```{r}
plot_features_vertical_spatial <- function(sobj, gene, pt.size = 0.5, space = "H", arc = TRUE)
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#0f4c5c')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = expr)) + geom_point(size = pt.size, alpha = 1)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5) + scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(0.5), hjust = 1)) 
  if(arc){plot = plot + geom_hline(yintercept=660, linetype = "dashed",color = colors[3])}
  return(plot)
}
plot_features_vertical_spatial(jy_408, gene = 'GSX2')
```

```{r}
plot_features_vertical_spatial_smoothed <- function(sobj, gene, pt.size = 0.5, space = "H", arc = TRUE)
{
  coordinates <- Embeddings(sobj, reduction = space)
  expmat <- as.matrix(FetchData(sobj, gene))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df <- gene_df %>% dplyr::arrange(!is.na(expr), expr)
  colors = c('grey90', 'grey90', '#0f4c5c')
  gene_df$expr[gene_df$expr == 0] = NA
  plot <- gene_df %>%
    filter(!is.na(expr)) %>%
    ggplot(aes(x = X, y = Y, color = expr)) +stat_density_2d(aes(fill = ..density..), geom = "raster", n = 400,contour = FALSE, interpolate = TRUE) +
  scale_x_continuous(expand = c(0, 0)) +
  scale_y_continuous(expand = c(0, 0)) +
#geom_bin2d(bins = 10) + #geom_point(size = pt.size, alpha = 1)+  
            theme_classic() + ggtitle(gene) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5) + scale_color_gradient(na.value = colors[1], low = colors[2], high = colors[3], labels = NULL)  + theme(title = element_text(face = 'bold', size = rel(0.5), hjust = 1)) 
  if(arc){plot = plot + geom_hline(yintercept=660, linetype = "dashed",color = colors[3])}
  return(plot)
}
plot_features_vertical_spatial_smoothed(jy_408, gene = 'PAX6')
```


```{r fig.height=8, fig.width=18}
genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_vertical_spatial_smoothed(jy_408, genes[i], pt.size = 1)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
verts
#ggsave(plot = verts, filename = 'test_408_vertical_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)
```

## Do the clustering stuff here 
```{r}
plot_clusters_vertical_spatial <- function(sobj, cluster, clustering = NULL, anterior = FALSE, cluster_color =  '#CB2A55', pt.size = 1, space = "H", arc = TRUE)
{
  cluster_identity = as.numeric(unlist(ifelse(is.null(clustering),
                                              Idents(sobj),sobj[[clustering]]))) == (cluster)
  coordinates <- Embeddings(sobj, reduction = space)
  gene_df <- as.data.frame(cbind(coordinates, cluster_identity))
  colnames(gene_df) <- c('X', 'Y', 'clust')
  gene_df <- gene_df %>% dplyr::arrange(clust)
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = factor(clust))) + geom_point(size = pt.size, alpha = 1) +  
            theme_classic() + ggtitle(cluster) + NoAxes() + NoLegend() + 
    coord_fixed(ratio = 0.5)  + theme(title = element_text(face = 'bold', size = rel(0.8), hjust = 1)) 
  cluster_color = scales::hue_pal()(nrow(unique(sobj[[clustering]])))[cluster]
  plot = plot + scale_colour_manual(values = c('grey90', cluster_color))
  intercept = ifelse(anterior, 660, 484)
  if(arc){plot = plot + geom_hline(yintercept=484, linetype = "dashed",color = cluster_color)}
  return(plot)
}
plot_clusters_vertical_spatial(jy_408, pt.size = 1, cluster = 1, clustering = 'RNA_snn_res.1.5')
```


```{r}
clusters = as.numeric(sort(unique(jy_408$RNA_snn_res.1.5)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_408, cluster = clusters[i], pt.size = 1, clustering = 'RNA_snn_res.1.5')
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 6, height = 8, dpi = 150)
```

```{r}
plot_clusters_umap <- function(sobj, clustering, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  #expmat <- sobj[[clustering]]
  expmat  = Idents(sobj)
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df$X = as.numeric(gene_df$X)
  gene_df$Y = as.numeric(gene_df$Y)
  summary_gene_df = gene_df %>% dplyr::group_by(expr) %>% dplyr::summarise(xmean = mean(X), ymean = mean(Y))
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = as.factor(expr))) + geom_point(size = pt.size, alpha = 0.8)+ geom_label(data = summary_gene_df,
                                                                                                                 mapping = aes(x = xmean, 
                           y = ymean), 
                           label = summary_gene_df$expr) +
            theme_classic() + ggtitle(clustering) + NoAxes() + NoLegend()  + theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  cluster_colors = scales::hue_pal()(nrow(unique(expmat)))
  plot = plot + scale_colour_manual(values = cluster_colors)
  return(plot)
}
p = plot_clusters_umap(jy_408, clustering ='RNA_snn_res.1.5')
p
```

```{r}
scales::hue_pal()(3)
```

```{r}
DimPlot(jy_408, cells.highlight = list('migratory' = which(grepl('MS', df_408$area))), cols.highlight = '#CB2A55')
```

```{r fig.height=3, fig.width=12}
small_dimplot <- function(sobj, grep_pattern){
  dp = DimPlot(jy_408, cells.highlight = list(imp = which(grepl(grep_pattern, df_408$area))))
  dp <- dp + scale_color_manual(values = c('grey90', '#1982c4'), labels=c('other', grep_pattern)) + NoAxes()
}

patterns = c('408_CC', 'MS_CC', 'vMS_TC', 'dMS_TC', '408_TC')
plots <- lapply(1:length(patterns), function(i){
    small_dimplot(jy_408, grep_pattern = patterns[i])
  })
areas = plot_grid(plotlist = plots, label_size = 10, nrow = 2)
ggsave(plot = areas, filename = 'test_408_area_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 12, height = 3, dpi = 150)
```
```{r}
DimPlot(jy_408, cells.highlight = list('CC' = which(grepl('CC', df_408$area))), cols.highlight = '#CB2A55')
```

```{r}
jy_164<- RenameCells(jy_164, c(outer('164_', 1:ncol(jy_164), FUN=paste0)))
jy_164$area = df_164$area
jy_408<- RenameCells(jy_408, c(outer('408_', 1:ncol(jy_408), FUN=paste0)))
jy_408$area = df_408$area
jy_all <- merge(jy_164, jy_408)
```
```{r}
jy_all <- NormalizeData(jy_all, scale.factor = 1e5) ###
normed = GetAssayData(jy_all, slot = 'data')
normed[normed < 3] = 0
jy_all <- SetAssayData(jy_all, slot = 'data', normed)
```

```{r}
jy_all <- FindVariableFeatures(jy_all, selection.method = "vst")
all.genes <- rownames(jy_all)
jy_all <- ScaleData(jy_all, features = all.genes)
jy_all <- RunPCA(jy_all, approx = FALSE)
jy_all <- FindNeighbors(jy_all, dims = 1:30)
jy_all <- FindClusters(jy_all, resolution = 1.5)
jy_all <- RunUMAP(jy_all, dims = 1:30)

DimPlot(jy_all,  reduction = "umap", group.by = 'seurat_clusters') + NoAxes()
```
```{r}
breakpoints = 1:20/10 + 0.1
plots = list()
jy_all <- FindNeighbors(jy_all, dims = 1:30)
i = 1
for (breakpoint in breakpoints){
  jy_all <- FindClusters(jy_all, resolution = breakpoint)
  jy_all <- RunUMAP(jy_all, dims = 1:30)
  jy_all.markers <- FindAllMarkers(jy_all, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
  labels = jy_all.markers %>%
   group_by(cluster) %>%
   slice_max(n = 1, order_by = avg_log2FC)
  new.cluster.ids <- labels$gene
  names(new.cluster.ids) <- levels(jy_all)
  jy_all <- RenameIdents(jy_all, new.cluster.ids)
  plots[[i]] = DimPlot(jy_all, reduction = "umap", pt.size = 1, label = TRUE) + NoAxes() + NoLegend() + ggtitle(breakpoint)
  i = i + 1
}

marrangeGrob(plots, nrow=2, ncol=2)
ml <- marrangeGrob(plots, nrow=2, ncol=2)
ggsave(filename = 'all_sequential_clustering_umaps.pdf', path = file.path(output_dir_plot, '20220721_1'), ml)
```
```{r fig.height=8, fig.width=14}
big_dimplot <- function(sobj, grep_pattern){
  dp = DimPlot(sobj, cells.highlight = list(imp = which(grepl(grep_pattern, sobj$area))))
  dp <- dp + scale_color_manual(values = c('grey90', '#1982c4'), labels=c('other', grep_pattern)) + NoAxes()
}
patterns = c('408_CC', '408_MS_CC', 'vMS_TC', 'dMS_TC', '408_TC', '164_CC', '164_MS_CC', '164_MS_TC',  '164_TC')
plots <- lapply(1:length(patterns), function(i){
    big_dimplot(jy_all, grep_pattern = patterns[i])
  })
areas = plot_grid(plotlist = plots, label_size = 10, nrow = 3)
areas
ggsave(plot = areas, filename = 'test_all_area_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 14, height = 8, dpi = 150)
```
```{r}

plot_clusters_umap(jy_all, clustering ='RNA_snn_res.1.5', pt.size = 2.0)
```

```{r}
jy_all.markers <- FindAllMarkers(jy_all, only.pos = TRUE, min.pct = 0.25, logfc.threshold = 0.25)
jy_all.markers %>%
   group_by(cluster) %>%
   slice_max(n = 32, order_by = avg_log2FC)
```


```{r}
clusters_164 = jy_all$RNA_snn_res.1.5[1:ncol(jy_164)]
jy_164$unified_clusters = clusters_164
clusters_408 = jy_all$RNA_snn_res.1.5[(ncol(jy_164)+1):ncol(jy_all)]
jy_408$unified_clusters = clusters_408
```

```{r fig.height=8, fig.width=4}
clusters = as.numeric(sort(unique(jy_408$unified_clusters)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_408, cluster = clusters[i], pt.size = 1, clustering = 'unified_clusters', anterior = FALSE)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_unified_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 5, height = 8, dpi = 150)
```
```{r fig.height=8, fig.width=5}
clusters = as.numeric(sort(unique(jy_164$unified_clusters)))
plots <- lapply(1:length(clusters), function(i){
    plot_clusters_vertical_spatial(jy_164, cluster = clusters[i], pt.size = 1, clustering = 'unified_clusters', anterior = TRUE)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_164_unified_vertical_cluster_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 5, height = 8, dpi = 150)
```

```{r fig.height=1, fig.width=8}
genes = rownames(markers2)
plots <- lapply(1:length(genes), function(i){
    plot_features_umap(jy_all, genes[i], pt.size = 0.5)
  })
umaps = plot_grid(plotlist = plots, label_size = 10, nrow = 1)
umaps
ggsave(plot = umaps, filename = 'cluster7_markers_all_umapl_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 8, height = 1, dpi = 150)

```

```{r}
jy_all_7.markers <- FindMarkers(jy_all, ident.1 = 7, ident.2 = NULL, only.pos = FALSE)
markers2 = jy_all_7.markers %>%
   slice_max(n = 5, order_by = avg_log2FC)
markers2
```
```{r}
new.cluster.ids = c('TBR1+/LRP8+ MS to TC', 
              'PROX1 and NKX2.1 Immature INs',
'Immature CALB2+ CGE interneuron',
 'Excitatory CXCL12+ Neurons',
'Cajal Retzius Cells',
'Mature, SST+ MGE INs',
 'Mature, VIP+ CGE INs',
 'MAF1+/TSHZ1+ Immature INs',
 'Layer 2 Excitatory Neurons',
 'CXCR4+ Posterior, MS to TC INs',
'EMX1+/NKX2.1+ Anterior, MS to CC INs',
 'EMX1+/LHX6+ Posterior, MS to CC INs',
 'GSX2+/RELN+/PAX6+ Clump')

```

```{r}
names(new.cluster.ids) <- levels(jy_all)
jy_all <- RenameIdents(jy_all, new.cluster.ids)
```

```{r}
library(ggrepel)
plot_clusters_umap <- function(sobj, clustering, pt.size = 3, space = "umap")
{
  coordinates <- Embeddings(sobj, reduction = space)
  #expmat <- sobj[[clustering]]
  expmat  = as.character(Idents(jy_all))
  gene_df <- as.data.frame(cbind(coordinates, expmat))
  colnames(gene_df) <- c('X', 'Y', 'expr')
  gene_df$X = as.numeric(gene_df$X)
  gene_df$Y = as.numeric(gene_df$Y)
  summary_gene_df = gene_df %>% dplyr::group_by(expr) %>% dplyr::summarise(xmean = mean(X), ymean = mean(Y))
  plot <- ggplot(gene_df, aes(x = X, y = Y, color = as.factor(expr))) + geom_point(size = pt.size, alpha = 0.8) + #+ geom_label_repel(data = summary_gene_df,
                                                                                                                # mapping = aes(x = xmean, 
                           #y = ymean), 
                           #label = summary_gene_df$expr) +
            theme_classic() + ggtitle(clustering) + NoAxes() + #NoLegend()  + 
    theme(title = element_text(face = 'bold', size = rel(1), hjust = 1)) 
  cluster_colors = scales::hue_pal()(length(unique(expmat)))
  plot = plot + scale_colour_manual(values = cluster_colors)
  return(plot)
}

plot_clusters_umap(jy_all, clustering = '', pt.size = 2.0)
```

```{r}
genes = rownames(jy_408)
plots <- lapply(1:length(genes), function(i){
    plot_features_vertical_spatial(jy_408, genes[i], pt.size = 1)
  })
verts= plot_grid(plotlist = plots, label_size = 10, nrow = 1)
ggsave(plot = verts, filename = 'test_408_vertical_expr_plots_size1_alpha1.png', path = file.path(output_dir_plot, '20220721_1'), width = 18, height = 8, dpi = 150)
```

